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LNRS Data Services is seeking a Senior Fraud Data Analyst to join their customer engagement team, focusing on fraud detection and risk management for large banking and e-commerce clients. The ideal candidate should possess a strong technical background, excellent communication skills, and experience in data analytics, particularly in financial services.
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Job Summary
The role involves supporting Tier One banking and e-commerce customers in deploying fraud and identity solutions.
Candidates must analyze data to build rules that identify fraud while reducing friction in customer workflows.
The position offers an annual incentive bonus and country-specific benefits focused on employee well-being.
Matching Summary
Match Score: 75
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LNRS Data Services is seeking a Senior Fraud Data Analyst to join their customer engagement team, focusing on fraud detection and risk management for large banking and e-commerce clients. The ideal candidate should possess a strong technical background, excellent communication skills, and experience in data analytics, particularly in financial services.
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Salary
Base: $104,900 - $174,700; Bonus/Equity: Eligible for annual incentive bonus; Benefits: Country specific benefits offered
Skills & Requirements
Must-have
Python pandas sklearn matplotlib experience
SQL and Excel reporting skills
3+ years financial services background
Customer-facing solution management
Root-cause analysis of fraud cases
Nice-to-have
Experience with ThreatMetrix DDP tools
Knowledge of cybersecurity concepts
Graph analysis or scorecard modeling
Excellent communication to non-tech stakeholders
Ability to work in fast-paced environment
Key Requirements
Quantitative or technical degree required
3+ years managing large customer-facing solutions
3+ years experience in financial services or e-commerce
Demonstrated competence in Python analytics tools
Experience investigating financial crimes like account takeover